CN114973148A - Municipal facilities on-line monitoring digital intelligent management platform based on smart city construction - Google Patents
Municipal facilities on-line monitoring digital intelligent management platform based on smart city construction Download PDFInfo
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Abstract
The invention discloses a municipal facility online monitoring digital intelligent management platform based on smart city construction. The municipal facility online monitoring digital management platform based on smart city construction comprises a guardrail information acquisition module, a guardrail information primary processing and analyzing module, a movable guardrail fixed information acquisition and analyzing module, a guardrail stability information acquisition and analyzing module, a guardrail safety analyzing module, an equipment obstacle avoidance auxiliary analyzing module, a database and a display terminal; according to the invention, the information acquisition, processing and analysis are carried out on the current patrol guardrail by the equipment carried on the movable guardrail patrol equipment, so that on one hand, the problem that the timeliness of response and processing of abnormal information of the guardrail cannot be improved in the prior art is effectively solved, manpower and material resources are saved, on the other hand, the guardrail state is monitored by the movable guardrail patrol equipment, the error of manual monitoring is eliminated, the reliability of guardrail monitoring information is ensured, and the intelligent and automatic levels are high.
Description
Technical Field
The invention belongs to the technical field of municipal facility online monitoring and management platforms, and relates to a municipal facility online monitoring digital intelligent management platform based on smart city construction.
Technical Field
In recent years, along with social transformation of city economy and reform of production life style, smart cities have come to the public, municipal facilities are gradually intelligentized, and monitoring and management of the use state of the municipal facilities are required to ensure the rationality and normalization of the use of the municipal facilities.
At present, municipal facilities are monitored and managed mainly aiming at facilities such as street lamps and well covers, but the guardrail is taken as an important municipal facility component part on the road, the importance of monitoring and managing the use state of the guardrail is self-evident, however, the current monitoring and managing of the guardrail only carries out simple patrol through patrol personnel, and obviously, the following problems mainly exist in the current monitoring and managing of the guardrail on the road:
1. the guardrail is exposed outside for a long time and is easily damaged from the outside, so that the guardrail is subjected to potential safety hazards such as corrosion, deformation, fracture, foreign matter adhesion and the like, when the guardrail is abnormal, people cannot know abnormal information of the guardrail at the first time, and cannot repair and adjust the guardrail in time, and when the guardrail is abnormal, the guardrail is continuously used, so that the use safety of the guardrail is easily low, the service life and the utilization rate of the guardrail are reduced, and the use cost of the guardrail is increased;
2. the guardrail can lead to the bolt not hard up because of external force reason and lose even, is unfavorable for the steadiness of guardrail, and then has increased the damage risk of guardrail, also can't ensure the security that the vehicle went on the road to still can not provide the powerful guarantee for the security of the follow-up use of guardrail.
3. The current monitoring mode to the guardrail belongs to artifical monitoring mode, and monitoring efficiency is low to there is very big limitation in the monitoring content, and there is very big error in the current monitoring mode simultaneously, can't ensure the monitoring effect of guardrail and the early warning efficiency of guardrail.
In order to solve the problems, a municipal facility online monitoring digital intelligent management platform based on smart city construction is designed.
Disclosure of Invention
The invention aims to provide a municipal facility online monitoring digital intelligent management platform based on smart city construction, and solves the problems in the background technology.
In order to achieve the above objects and other objects, the present invention adopts the following technical solutions:
the invention provides a municipal facility online monitoring digital intelligent management platform based on smart city construction, which comprises a guardrail information acquisition module, a guardrail information primary processing and analysis module, a movable guardrail fixed information acquisition and analysis module, a guardrail stability information acquisition and analysis module, a guardrail safety analysis module, an equipment obstacle avoidance auxiliary analysis module, a database and a display terminal, wherein the guardrail information primary processing and analysis module is used for acquiring guardrail information;
the guardrail information acquisition module is used for acquiring images of a cross rod in a current patrol protection column position of the guardrail patrol equipment through a first high-definition camera carried on the movable guardrail patrol equipment, acquiring a current corresponding position of the movable guardrail patrol equipment, acquiring images of a vertical rod in the current patrol protection column position through a second high-definition camera carried on the movable guardrail patrol equipment, and further sending a cross rod image acquired by the first high-definition camera and a vertical rod image acquired by the second high-definition camera to the guardrail information primary processing and analyzing module;
the guardrail information primary processing and analyzing module is used for correspondingly comparing a cross rod image acquired by the first high-definition camera and a vertical rod image acquired by the second high-definition camera with set defect characteristic images of various types, identifying defect information corresponding to a cross rod and a vertical rod of the guardrail from the cross rod image and the vertical rod image, and analyzing the defect information corresponding to the cross rod and the defect information corresponding to the vertical rod respectively to obtain a cross rod defect early warning evaluation index and a vertical rod defect early warning evaluation index;
when the movable guardrail inspection equipment inspects the position of the guardrail fixed area, the movable guardrail fixed information acquisition and analysis module starts a fixed area detection camera in the movable guardrail inspection equipment to acquire images of the fixed area, extracts the number of bolts and the height corresponding to each bolt from the images and further outputs a guardrail fixed state evaluation coefficient;
the guardrail stability information acquisition and analysis module is used for acquiring stability information corresponding to an inner guardrail at the current guardrail patrol position of the movable guardrail patrol equipment through the guardrail stability detection equipment and analyzing the stability information to obtain a guardrail stability state evaluation coefficient;
the guardrail safety analysis module is used for receiving a cross rod defect early warning evaluation index, a vertical rod defect early warning evaluation index, a guardrail fixed state evaluation coefficient and a guardrail stable state evaluation coefficient, comprehensively calculating to obtain a guardrail safety evaluation coefficient, and further sending the guardrail safety evaluation coefficient to the display terminal;
the database is used for storing initial guardrail structure laying information, initial guardrail fixing information and standard vibration frequency corresponding to guardrails in a designated area, wherein the initial guardrail structure laying information comprises transverse rod initial form images and vertical rod initial form images, and the initial guardrail fixing information comprises the number of bolts set in a fixed area and the initial set height of the bolts;
and the display terminal is used for receiving the guardrail safety evaluation coefficient and carrying out background display.
According to a preferred embodiment, the defect information corresponding to the guardrail transverse rod and the guardrail vertical rod comprises defect type number and defect parameters corresponding to each type of defect, wherein the defect types comprise deformation, fracture, corrosion and foreign body adhesion, the defect parameter corresponding to the deformation defect is deformation degree, the fracture defect parameter is fracture length and fracture width, the corrosion defect parameter is corrosion area, and the foreign body adhesion defect parameter is foreign body volume.
According to a preferred embodiment, the specific identification process of the defect information corresponding to the guardrail cross rod and the guardrail vertical rod is as follows:
a1, acquiring a cross bar image acquired by a first high-definition camera carried on the mobile guardrail patrol equipment, comparing the cross bar image with the set defect characteristic images of various types, and positioning to obtain the defect type number of the cross bar;
a2, if the defect type of the cross bar is a deformation defect, extracting the outline of the deformation area, and performing overlapping comparison on the outline and the initial form image of the cross bar to obtain the deformation degree of the cross bar;
a3, if the defect type of the cross bar is a fracture defect, extracting a profile corresponding to the fracture area, and further extracting the length and the width of the fracture area;
a4, if the defect type of the cross bar is corrosion defect, extracting the outline corresponding to the corrosion area, and further acquiring the area corresponding to the corrosion area;
a5, if the defect type of the cross bar is a foreign body adhesion defect, extracting the volume of the foreign body;
a6, acquiring a vertical rod image acquired by a second high-definition camera carried on the mobile guardrail patrol equipment, and acquiring the number of defect types corresponding to the vertical rod and defect parameters corresponding to the defect types according to the acquisition mode of the defect information of the cross rod.
According to a preferred embodiment, the defect information corresponding to the cross bar is analyzed, and the specific analysis process is as follows:
obtaining the number of defect types and the parameters of the defect types corresponding to the cross bar, substituting the number of the defect types and the parameters of the defect types corresponding to each type of defect into a calculation formula
Calculating to obtain a cross bar defect early warning evaluation index omega, wherein B ', L', D ', S', V 'and X' are respectively expressed as set cross bar allowable deformation degree, allowable fracture length, allowable fracture width, allowable corrosion area, allowable foreign matter adhesion volume and allowable defect type number, B, L, D, S, V, X is respectively expressed as deformation degree, fracture length, fracture width, corrosion area, foreign matter adhesion volume and defect type number corresponding to a cross bar, lambda 1 is expressed as a guardrail defect compensation factor set by the cross bar, a1, a2, a3, a4 and a5 are respectively expressed as cross bar defect influence weights corresponding to the cross bar deformation degree, fracture size, corrosion area, foreign matter adhesion volume and defect type number, and a2>a1>a3>a4>a5, and a1+ a2+ a3+ a4+ a5 ═ 1.
According to a preferred embodiment, the defect information corresponding to the vertical rods is analyzed in the same way as the defect information of the transverse rods,the specific calculation formula is
Wherein ω "is expressed as a vertical bar defect early warning evaluation index, B1', L1', D1', S1', V1 'and X1' are respectively expressed as a set allowable deformation degree of the vertical bar, an allowable fracture length, an allowable fracture width, an allowable corrosion area, an allowable foreign matter adhesion volume and an allowable defect type number, B1, L1, D1, S1, V1 and X1 are respectively expressed as a deformation degree, a fracture length, a fracture width, a vertical bar corrosion area, a vertical bar foreign matter adhesion volume and a defect type number corresponding to the vertical bar, λ 2 is expressed as a guardrail defect compensation factor set for the vertical bar, B1, B2, B3, B4 and B5 are respectively expressed as a vertical bar deformation degree, a fracture size, a corrosion area, a foreign matter adhesion volume and a defect type weight, B2>b1>b3>b4>b5, and b1+ b2+ b3+ b4+ b5 is 1.
According to a preferred embodiment, the specific analysis process of the output guardrail fixed state assessment index comprises the following steps:
r1, extracting the number of the bolts corresponding to the fixed area from the database, and calculating the number of the bolts in the fixed area according to the number of the corresponding bolts in the fixed area by using a calculation formula, and recording the number as alpha;
r2, extracting the initial set heights of the bolts corresponding to the fixed area from the database, and calculating the height conformity index of the bolts in the fixed area by using a calculation formula based on the heights corresponding to the bolts in the fixed area, wherein the height conformity index is recorded as beta;
r3, based on the coincidence index of the number of bolts and the coincidence index of the height of the bolts in the fixing area, according to a calculation formula
The guardrail fixed state evaluation index theta is calculated, c1 and c2 are respectively expressed as the ratio of the number of bolts corresponding to the fixed area and the influence of the height corresponding to each bolt in the fixed area on the guardrail fixed state evaluation index, and c1+ c2 is 1.
According to a preferred embodiment, the guardrail stability detection device comprises a vibration sensor and a pressure sensor, wherein the vibration sensor is used for detecting the vibration frequency corresponding to the guardrail, and the pressure sensor is used for detecting the pressure value of each contact point corresponding to the movable guardrail patrol device in the guardrail.
According to a preferred embodiment, the guardrail steady state evaluation coefficient specific analysis process comprises the following steps:
u1, acquiring guardrail stability information corresponding to the current guardrail patrol position of the movable guardrail patrol equipment, wherein the guardrail stability information comprises guardrail vibration frequency and pressure values of contact points corresponding to the movable guardrail patrol equipment in the guardrail;
u2, screening out the maximum pressure value from the pressure values corresponding to the contact points of the mobile guardrail inspection equipment according to the pressure values corresponding to the contact points, taking the maximum pressure value as the maximum pressure value of the guardrail, calculating the average pressure value corresponding to the contact points of the mobile guardrail inspection equipment through the average value, and taking the average pressure value as the average pressure value of the guardrail;
u3, substituting vibration frequency, maximum pressure value and average pressure value corresponding to the guardrail into a calculation formula
Obtaining a guardrail stable state evaluation coefficient eta, wherein p is the vibration frequency collected by the movable guardrail inspection equipment, p' is the standard vibration frequency of the guardrail, and N max The maximum pressure value corresponding to each contact point is set for the patrol of the movable guardrail in the guardrail,
and setting an average pressure value corresponding to each contact point for the patrol of the movable guardrail in the guardrail, wherein e is expressed as a natural number, y1 and y2 are respectively expressed as the guardrail stable state evaluation influence weight corresponding to the guardrail vibration frequency and the guardrail pressure uniformity, and y1+ y2 is equal to 1.
According to a preferred embodiment, the guardrail safety evaluation coefficient is specifically calculated by the formula
Wherein,
for the guardrail safety evaluation coefficient, f1, f2, f3 and f4 are respectively expressed as the influence ratios corresponding to a rail defect, a vertical rod defect, a guardrail fixed state and a guardrail stable state, and f1+ f2+ f3+ f4 is 1.
According to a preferred embodiment, the system further comprises an equipment obstacle avoidance auxiliary analysis module, wherein the equipment obstacle avoidance auxiliary analysis module is used for detecting the distance of the obstacle through an infrared distance measurement sensor in the movable guardrail inspection equipment when the movable guardrail inspection equipment acquires guardrail information, and then starting an obstacle avoidance instruction and avoiding the obstacle when the distance of the obstacle is smaller than or equal to the set obstacle avoidance required distance.
As described above, the municipal facility online monitoring digital intelligent management platform based on smart city construction provided by the invention at least has the following beneficial effects:
(1) the invention provides a municipal facility online monitoring digital intelligent management platform based on smart city construction, which collects images of a cross bar in a current patrol protection column position by moving a first high-definition camera carried on guardrail patrol equipment, collects images of a vertical bar in the current patrol protection column position by moving a second high-definition camera carried on the guardrail patrol equipment, analyzes and processes the images collected by the first high-definition camera and the second high-definition camera, respectively identifies defect information corresponding to the cross bar and the vertical bar of a guardrail, obtains a cross bar defect early warning evaluation index and a vertical bar defect early warning evaluation index, effectively solves the problem that the timeliness of response and processing of abnormal information of the guardrail cannot be improved by the prior art, and greatly improves the comprehensiveness and accuracy of guardrail information monitoring by moving the guardrail patrol equipment, the high-efficient monitoring of guardrail state has been realized, and then a large amount of manpower and material resources have still been saved, on the one hand, monitor mode through removing guardrail tour equipment, the life of guardrail has been ensured to a certain extent, aggravation of guardrail damage degree has been avoided, the availability factor of guardrail has been improved, the use cost of guardrail has been practiced thrift, on the other hand, tour equipment monitoring guardrail state through removing the guardrail, the error of manual monitoring has been eliminated, the reliability of guardrail monitoring information has been ensured, referential nature and rationality, the precision of guardrail monitoring data has been improved, it is intelligent and automatic competent.
(2) According to the invention, by monitoring the fixed state information and the stable state information of the guardrail, on one hand, dangerous accidents caused by the loss and the looseness of the bolt of the guardrail are effectively avoided, the stability of the guardrail is ensured, the driving safety of road vehicles is improved to a certain extent, on the other hand, the inspection safety of the movable guardrail inspection equipment is ensured through the detection of the stable state information, the overturning hidden danger of the guardrail is also effectively avoided, a powerful guarantee is provided for the protection effect of the guardrail, and meanwhile, the passing safety of pedestrians is greatly improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic diagram showing the connection of modules of the system of the present invention.
Fig. 2 is a schematic diagram of the arrangement of the cameras of the mobile guardrail patrol equipment.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Please refer to fig. 1, an intelligent design analytic system is decorated to building house fitment based on artificial intelligence, this system includes guardrail information acquisition module, guardrail information preliminary treatment and analysis module, the fixed information acquisition of removal guardrail and analysis module, guardrail stable information acquisition and analysis module, guardrail safety analysis module, equipment keep away barrier auxiliary analysis module, database and display terminal.
The movable guardrail fixed information acquisition and analysis module is respectively connected with the guardrail information acquisition module and the guardrail information primary processing and analysis module, the guardrail safety analysis module is respectively connected with the movable guardrail fixed information acquisition and analysis module, the guardrail stable information acquisition and analysis module and the display terminal, and the database is respectively connected with the guardrail information primary processing and analysis module, the movable guardrail fixed information acquisition and analysis module and the guardrail stable information acquisition and analysis module.
Referring to fig. 2, the guardrail information collection module is configured to collect images of a cross bar in a current patrol protection column position of the guardrail patrol equipment through a first high-definition camera mounted on the movable guardrail patrol equipment, obtain a current corresponding position of the movable guardrail patrol equipment, collect images of a vertical bar in the current patrol protection column position through a second high-definition camera mounted on the movable guardrail patrol equipment, and send cross bar information collected by the first high-definition camera and a vertical bar image collected by the second high-definition camera to the guardrail information primary processing and analysis module;
the position of a first high-definition camera carried on the mobile guardrail patrol equipment keeps parallel relation with the cross rod, and the position of a second high-definition camera carried on the mobile guardrail patrol equipment keeps parallel relation with the vertical rod.
In a specific embodiment, the device obstacle avoidance auxiliary analysis module is configured to detect a distance to an obstacle through an infrared distance measurement sensor in the mobile guardrail inspection device when the mobile guardrail inspection device acquires guardrail information, and then start an obstacle avoidance instruction and avoid an obstacle when the distance to the obstacle is smaller than or equal to a set obstacle avoidance required distance.
The guardrail information primary processing and analyzing module is used for correspondingly comparing the transverse rod images collected by the first high-definition camera and the vertical rod images collected by the second high-definition camera with the set defect characteristic images of various types, further identifying the defect information corresponding to the transverse rod and the vertical rod of the guardrail, analyzing the defect information corresponding to the transverse rod and the defect information corresponding to the vertical rod respectively, and obtaining a transverse rod defect early warning evaluation index and a vertical rod defect early warning evaluation index.
In a specific embodiment, the defect information corresponding to the guardrail cross rod and the guardrail vertical rod comprises defect type number and defect parameters corresponding to each type of defect, wherein the defect types comprise deformation, fracture, corrosion and foreign matter adhesion, the defect parameter corresponding to the deformation defect is deformation degree, the fracture defect parameter is fracture length and fracture width, the corrosion defect parameter is corrosion area, and the foreign matter adhesion defect parameter is foreign matter volume.
The specific identification process of the corresponding defect information of the guardrail cross bar is as follows:
a1, acquiring a cross bar image acquired by a first high-definition camera carried on the mobile guardrail patrol equipment, comparing the cross bar image with the set defect characteristic images of various types, and positioning to obtain the defect type number of the cross bar;
a2, if the defect type of the cross bar is a deformation defect, extracting the outline of the deformation area, and performing overlapping comparison on the outline and the initial form image of the cross bar to obtain the deformation degree of the cross bar;
wherein,
the cross bar overlapping area is obtained by overlapping and comparing the cross bar defect characteristic image with the cross bar initial form image, and the cross bar initial area is the area corresponding to the cross bar in the cross bar initial form image;
a3, if the defect type of the cross bar is a fracture defect, extracting a profile corresponding to the fracture area, and further extracting the length and the width of the fracture area;
a4, if the defect type of the cross bar is corrosion defect, extracting the outline corresponding to the corrosion area, and further acquiring the area corresponding to the corrosion area;
and A5, if the defect type of the cross bar is a foreign body adhesion defect, extracting the foreign body volume.
The defect information corresponding to the cross bar is analyzed, and the specific analysis process is as follows:
obtaining the number of defect types and the parameters of the defect types corresponding to the cross bar, substituting the number of the defect types and the parameters of the defect types corresponding to each type of defect into a calculation formula
Calculating to obtain a cross bar defect early warning evaluation index omega, wherein B ', L', D ', S', V 'and X' are respectively expressed as set cross bar allowable deformation degree, allowable fracture length, allowable fracture width, allowable corrosion area, allowable foreign matter adhesion volume and allowable defect type number, B, L, D, S, V, X is respectively expressed as deformation degree, fracture length, fracture width, corrosion area, foreign matter adhesion volume and defect type number corresponding to a cross bar, lambda 1 is expressed as a guardrail defect compensation factor set by the cross bar, a1, a2, a3, a4 and a5 are respectively expressed as cross bar defect influence weights corresponding to the cross bar deformation degree, fracture size, corrosion area, foreign matter adhesion volume and defect type number, and a2>a1>a3>a4>a5, and a1+ a2+ a3+ a4+ a5 is 1.
The specific identification process of the defect information corresponding to the vertical bar of the guardrail is as follows:
h1, acquiring a vertical rod image acquired by a second high-definition camera carried on the mobile guardrail patrol equipment, comparing the vertical rod image with the set characteristic images of various types of defects, and positioning to obtain the number of types of the vertical rod defects;
h2, if the type of the vertical rod defect is a deformation defect, extracting the outline of the deformation area, and performing overlapping comparison on the outline and the initial form image of the vertical rod to obtain the deformation degree of the vertical rod;
h3, if the type of the vertical rod defect is a fracture defect, extracting a profile corresponding to the fracture area, and further extracting the length and the width of the fracture area;
h4, if the type of the vertical rod defect is a corrosion defect, extracting a profile corresponding to the corrosion region, and further acquiring the area corresponding to the corrosion region;
h5, if the type of the vertical rod defect is a foreign body adhesion defect, extracting the foreign body volume.
The defect information corresponding to the vertical rod is analyzed, and the specific analysis process is as follows:
acquiring the number of defect types and the parameters of the defect types corresponding to the vertical rods, substituting the number of the defect types and the parameters of the defect types corresponding to each type of defect into a calculation formula, and utilizing the calculation formula
Wherein ω "is expressed as a vertical bar defect early warning evaluation index, B1', L1', D1', S1', V1 'and X1' are respectively expressed as a set allowable deformation degree of the vertical bar, an allowable fracture length, an allowable fracture width, an allowable corrosion area, an allowable foreign matter adhesion volume and an allowable defect type number, B1, L1, D1, S1, V1 and X1 are respectively expressed as a deformation degree, a fracture length, a fracture width, a vertical bar corrosion area, a vertical bar foreign matter adhesion volume and a defect type number corresponding to the vertical bar, λ 2 is expressed as a guardrail defect compensation factor set for the vertical bar, B1, B2, B3, B4 and B5 are respectively expressed as a vertical bar deformation degree, a fracture size, a corrosion area, a foreign matter adhesion volume and a defect type weight, B2>b1>b3>b4>b5, and b1+ b2+ b3+ b4+ b5 is 1.
The invention provides a municipal facility online monitoring digital intelligent management platform based on smart city construction, which collects images of a cross bar in a current patrol protection column position by moving a first high-definition camera carried on guardrail patrol equipment, collects images of a vertical bar in the current patrol protection column position by moving a second high-definition camera carried on the guardrail patrol equipment, analyzes and processes the images collected by the first high-definition camera and the second high-definition camera, respectively identifies defect information corresponding to the cross bar and the vertical bar of a guardrail, obtains a cross bar defect early warning evaluation index and a vertical bar defect early warning evaluation index, effectively solves the problem that the timeliness of response and processing of abnormal information of the guardrail cannot be improved by the prior art, and greatly improves the comprehensiveness and accuracy of guardrail information monitoring by moving the guardrail patrol equipment, the high-efficient monitoring of guardrail state has been realized, and then a large amount of manpower and material resources have still been saved, on the one hand, monitor mode through removing guardrail tour equipment, the life of guardrail has been ensured to a certain extent, aggravation of guardrail damage degree has been avoided, the availability factor of guardrail has been improved, the use cost of guardrail has been practiced thrift, on the other hand, tour equipment monitoring guardrail state through removing the guardrail, the error of manual monitoring has been eliminated, the reliability of guardrail monitoring information has been ensured, referential nature and rationality, the precision of guardrail monitoring data has been improved, it is intelligent and automatic competent.
The movable guardrail fixed information acquisition and analysis module starts a fixed area detection camera in the movable guardrail patrol equipment to acquire images of the fixed area when the movable guardrail patrol equipment patrols to the guardrail fixed area, extracts the number of bolts and the height corresponding to each bolt from the fixed area detection camera, and outputs a guardrail fixed state evaluation coefficient.
In one embodiment, the output guardrail fixed state assessment index comprises the following specific analysis processes:
r1, extracting the number of the set bolts corresponding to the fixed area from the database, and calculating the number of the bolts in the fixed area according to the number of the corresponding bolts in the fixed area by using a calculation formula and marking as alpha;
wherein,
m represents the number of bolts set for the fixing area, and M' represents the number of bolts corresponding to the fixing area;
r2, extracting the initial set heights of the bolts corresponding to the fixed area from the database, and calculating the height conformity index of the bolts in the fixed area by using a calculation formula based on the heights corresponding to the bolts in the fixed area, wherein the height conformity index is recorded as beta;
wherein,
n is the initial set height of the bolt corresponding to the fixed area, N i For the height corresponding to the ith bolt in the fixing area, i is expressed as the fixing areaThe number of the current height of each bolt corresponding to the field is marked as i 1,2 in sequence;
r3, based on the coincidence index of the number of bolts and the coincidence index of the height of the bolts in the fixing area, according to a calculation formula
The guardrail fixed state evaluation index theta is calculated, c1 and c2 are respectively expressed as the ratio of the number of bolts corresponding to the fixed area and the influence of the height corresponding to each bolt in the fixed area on the guardrail fixed state evaluation index, and c1+ c2 is 1.
The guardrail stable information acquisition and analysis module is used for acquiring stable information corresponding to the guardrail in the current guardrail position of the movable guardrail patrol equipment through the guardrail stable detection equipment and analyzing to obtain a guardrail stable state evaluation coefficient.
The guardrail stabilization detection equipment comprises a vibration sensor and a pressure sensor, wherein the vibration sensor is used for detecting the vibration frequency corresponding to the guardrail, and the pressure sensor is used for detecting the pressure value of each contact point corresponding to the guardrail patrol equipment.
In one embodiment, the specific analysis process of the guardrail steady state evaluation coefficient comprises the following steps:
u1, acquiring guardrail stability information corresponding to the current guardrail patrol position of the movable guardrail patrol equipment, wherein the guardrail stability information comprises guardrail vibration frequency and pressure values of contact points corresponding to the movable guardrail patrol equipment in the guardrail;
u2, screening out the maximum pressure value from the pressure values corresponding to the contact points of the mobile guardrail inspection equipment according to the pressure values corresponding to the contact points, taking the maximum pressure value as the maximum pressure value of the guardrail, calculating the average pressure value corresponding to the contact points of the mobile guardrail inspection equipment through the average value, and taking the average pressure value as the average pressure value of the guardrail;
u3, substituting vibration frequency, maximum pressure value and average pressure value corresponding to the guardrail into a calculation formula
Obtaining a guardrail stable state evaluation coefficient eta, wherein p is the vibration frequency collected by the movable guardrail inspection equipment, p' is the standard vibration frequency of the guardrail, and N max The maximum pressure value corresponding to each contact point is set for the patrol of the movable guardrail in the guardrail,
and setting an average pressure value corresponding to each contact point for the patrol of the movable guardrail in the guardrail, wherein e is expressed as a natural number, y1 and y2 are respectively expressed as the guardrail stable state evaluation influence weight corresponding to the guardrail vibration frequency and the guardrail pressure uniformity, and y1+ y2 is equal to 1.
According to the embodiment of the invention, by monitoring the fixed state information and the stable state information of the guardrail, on one hand, dangerous accidents caused by the loss and the looseness of the bolt of the guardrail are effectively avoided, the stability of the guardrail is ensured, the driving safety of road vehicles is improved to a certain extent, on the other hand, the inspection safety of the movable guardrail inspection equipment is ensured through the detection of the stable state information, the overturning hidden danger of the guardrail is also effectively avoided, a powerful guarantee is provided for the protection effect of the guardrail, and meanwhile, the passing safety of pedestrians is greatly improved.
The database is used for storing guardrail structure information initially laid in a designated area, guardrail fixing information initially laid and standard vibration frequency corresponding to the guardrails, wherein the guardrail structure information initially laid comprises cross rod initial form images and vertical rod initial form images, and the guardrail fixing information initially laid comprises the number of bolts set in the fixing area and the initial set height of the bolts.
The guardrail safety analysis module is used for receiving the cross rod defect early warning evaluation index, the vertical rod defect early warning evaluation index, the guardrail fixed state evaluation coefficient and the guardrail stable state evaluation coefficient, comprehensively calculating to obtain the guardrail safety evaluation coefficient, and then sending the guardrail safety evaluation coefficient to the display terminal.
In one embodiment, the guardrail safety evaluation coefficient is calculated by the following formula
Wherein,
for the guardrail safety evaluation coefficient, f1, f2, f3 and f4 are respectively expressed as the influence ratios corresponding to a rail defect, a vertical rod defect, a guardrail fixed state and a guardrail stable state, and f1+ f2+ f3+ f4 is 1.
And the display terminal is used for receiving the guardrail safety evaluation coefficient and carrying out background display.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (10)
1. The utility model provides a municipal facilities on-line monitoring digital intelligent management platform based on construction of wisdom city which characterized in that: the system comprises a guardrail information acquisition module, a guardrail information primary processing and analyzing module, a movable guardrail fixed information acquisition and analyzing module, a guardrail stability information acquisition and analyzing module, a guardrail safety analyzing module, an equipment obstacle avoidance auxiliary analyzing module, a database and a display terminal;
the guardrail information acquisition module is used for acquiring images of a cross bar in a current patrol protection column position of the guardrail patrol equipment through a first high-definition camera carried on the movable guardrail patrol equipment, acquiring a current corresponding position of the movable guardrail patrol equipment, acquiring images of a vertical bar in the current patrol protection column position through a second high-definition camera carried on the movable guardrail patrol equipment, and further sending the cross bar information acquired by the first high-definition camera and a vertical bar image acquired by the second high-definition camera to the guardrail information primary processing and analyzing module;
the guardrail information primary processing and analyzing module is used for correspondingly comparing a cross rod image acquired by the first high-definition camera and a vertical rod image acquired by the second high-definition camera with set defect characteristic images of various types, identifying defect information corresponding to a cross rod and a vertical rod of the guardrail from the cross rod image and the vertical rod image, and analyzing the defect information corresponding to the cross rod and the defect information corresponding to the vertical rod respectively to obtain a cross rod defect early warning evaluation index and a vertical rod defect early warning evaluation index;
when the movable guardrail inspection equipment inspects the position of the guardrail fixed area, the movable guardrail fixed information acquisition and analysis module starts a fixed area detection camera in the movable guardrail inspection equipment to acquire images of the fixed area, extracts the number of bolts and the height corresponding to each bolt from the images and further outputs a guardrail fixed state evaluation coefficient;
the guardrail stability information acquisition and analysis module is used for acquiring stability information corresponding to an inner guardrail at the current guardrail patrol position of the movable guardrail patrol equipment through the guardrail stability detection equipment and analyzing the stability information to obtain a guardrail stability state evaluation coefficient;
the guardrail safety analysis module is used for receiving a cross rod defect early warning evaluation index, a vertical rod defect early warning evaluation index, a guardrail fixed state evaluation coefficient and a guardrail stable state evaluation coefficient, comprehensively calculating to obtain a guardrail safety evaluation coefficient, and further sending the guardrail safety evaluation coefficient to the display terminal;
the database is used for storing initial guardrail structure laying information, initial guardrail fixing information and standard vibration frequency corresponding to guardrails in a designated area, wherein the initial guardrail structure laying information comprises transverse rod initial form images and vertical rod initial form images, and the initial guardrail fixing information comprises the number of bolts set in the fixed area and the initial set height of the bolts;
and the display terminal is used for receiving the guardrail safety evaluation coefficient and carrying out background display.
2. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 1, wherein: the defect information corresponding to the guardrail cross rod and the vertical rod comprises defect type numbers and defect parameters corresponding to various types of defects, wherein the defect types comprise deformation, fracture, corrosion and foreign body adhesion, the defect parameters corresponding to the deformation defects are deformation degrees, the fracture defect parameters are fracture length and fracture width, the corrosion defect parameters are corrosion area, and the foreign body adhesion defect parameters are foreign body volumes.
3. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 1, wherein: the specific identification process of the defect information corresponding to the guardrail cross rod and the vertical rod is as follows:
a1, acquiring a cross bar image acquired by a first high-definition camera carried on the mobile guardrail patrol equipment, comparing the cross bar image with the set defect characteristic images of various types, and positioning to obtain the defect type number of the cross bar;
a2, if the defect type of the cross bar is a deformation defect, extracting the outline of the deformation area, and performing overlapping comparison on the outline and the initial form image of the cross bar to obtain the deformation degree of the cross bar;
a3, if the defect type of the cross bar is a fracture defect, extracting a profile corresponding to the fracture area, and further extracting the length and the width of the fracture area;
a4, if the defect type of the cross bar is corrosion defect, extracting the corresponding outline of the corrosion area, and further acquiring the area corresponding to the corrosion area;
a5, if the defect type of the cross bar is a foreign body adhesion defect, extracting the volume of the foreign body;
a6, acquiring a vertical rod image acquired by a second high-definition camera carried on the mobile guardrail patrol equipment, and acquiring the number of defect types corresponding to the vertical rod and defect parameters corresponding to the defect types according to the acquisition mode of the defect information of the cross rod.
4. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 2, wherein: the defect information corresponding to the cross bar is analyzed, and the specific analysis process is as follows:
acquiring the defect type number and defect type parameters corresponding to the cross bar, and substituting the defect type number and defect type parameters corresponding to each type of defect into the meterFormula of calculation
Calculating to obtain a cross bar defect early warning evaluation index omega, wherein B ', L', D ', S', V 'and X' are respectively expressed as the set allowable deformation degree, the allowable fracture length, the allowable fracture width, the allowable corrosion area, the allowable foreign matter adhesion volume and the allowable defect type number of the cross bar, B, L, D, S, V, X is respectively expressed as the deformation degree, the fracture length, the fracture width, the corrosion area, the foreign matter adhesion volume and the defect type number corresponding to the cross bar, lambda 1 is expressed as the guardrail defect compensation factor set by the cross bar, a1, a2, a3, a4 and a5 are respectively expressed as the cross bar defect influence weight corresponding to the deformation degree, the fracture size, the corrosion area, the foreign matter adhesion volume and the defect type number, and a2>a1>a3>a4>a5, and a1+ a2+ a3+ a4+ a5 is 1.
5. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 4, wherein: the analysis mode of the defect information corresponding to the vertical rod is the same as that of the defect information of the transverse rod, and the specific calculation formula is
Wherein ω "is expressed as a vertical bar defect early warning evaluation index, B1', L1', D1', S1', V1 'and X1' are respectively expressed as a set allowable deformation degree of the vertical bar, an allowable fracture length, an allowable fracture width, an allowable corrosion area, an allowable foreign matter adhesion volume and an allowable defect type number, B1, L1, D1, S1, V1 and X1 are respectively expressed as a deformation degree, a fracture length, a fracture width, a vertical bar corrosion area, a vertical bar foreign matter adhesion volume and a defect type number corresponding to the vertical bar, λ 2 is expressed as a guardrail defect compensation factor set for the vertical bar, B1, B2, B3, B4 and B5 are respectively expressed as a vertical bar deformation degree, a fracture size, a corrosion area, a foreign matter adhesion volume and a defect type weight, B2>b1>b3>b4>b5, and b1+ b2+ b3+ b4+ b5 is 1.
6. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 5, wherein: the specific analysis process of the output guardrail fixed state evaluation index comprises the following steps:
r1, extracting the number of the set bolts corresponding to the fixed area from the database, and calculating the number of the bolts in the fixed area according to the number of the corresponding bolts in the fixed area by using a calculation formula and marking as alpha;
r2, extracting the initial set heights of the bolts corresponding to the fixed area from the database, and calculating the height conformity index of the bolts in the fixed area by using a calculation formula based on the heights corresponding to the bolts in the fixed area, wherein the height conformity index is recorded as beta;
r3, based on the coincidence index of the number of bolts and the coincidence index of the height of the bolts in the fixing area, according to a calculation formula
The guardrail fixed state evaluation index theta is calculated, c1 and c2 are respectively expressed as the ratio of the number of bolts corresponding to the fixed area and the influence of the height corresponding to each bolt in the fixed area on the guardrail fixed state evaluation index, and c1+ c2 is 1.
7. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 1, wherein: the guardrail stabilization detection equipment comprises a vibration sensor and a pressure sensor, wherein the vibration sensor is used for detecting the vibration frequency corresponding to the guardrail, and the pressure sensor is used for detecting the pressure value of each contact point corresponding to the guardrail moving guardrail patrol equipment in the guardrail.
8. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 6, wherein: the specific analysis process of the guardrail stable state evaluation coefficient comprises the following steps:
u1, acquiring guardrail stability information corresponding to the current guardrail patrol position of the movable guardrail patrol equipment, wherein the guardrail stability information comprises guardrail vibration frequency and pressure values of contact points corresponding to the movable guardrail patrol equipment in the guardrail;
u2, screening out the maximum pressure value from the pressure values corresponding to the contact points of the mobile guardrail inspection equipment according to the pressure values corresponding to the contact points, taking the maximum pressure value as the maximum pressure value of the guardrail, calculating the average pressure value corresponding to the contact points of the mobile guardrail inspection equipment through the average value, and taking the average pressure value as the average pressure value of the guardrail;
u3, substituting vibration frequency, maximum pressure value and average pressure value corresponding to the guardrail into a calculation formula
Obtaining a guardrail stable state evaluation coefficient eta, wherein p is the vibration frequency collected by the movable guardrail inspection equipment, p' is the standard vibration frequency of the guardrail, and N max The maximum pressure value corresponding to each contact point is set for the patrol of the movable guardrail in the guardrail,
and setting an average pressure value corresponding to each contact point for the patrol of the movable guardrail in the guardrail, wherein e is expressed as a natural number, y1 and y2 are respectively expressed as the guardrail stable state evaluation influence weight corresponding to the guardrail vibration frequency and the guardrail pressure uniformity, and y1+ y2 is equal to 1.
9. The intelligent management platform for on-line monitoring and digitization of municipal facilities based on smart city construction of claim 8, wherein: the specific calculation formula of the safety assessment coefficient of the guardrail is
Wherein,
for the safety evaluation coefficient of the guardrail, f1, f2, f3 and f4 are respectively expressed as cross bar defect, vertical bar defect and guardrail fixationThe influence ratio of the state to the guardrail stable state is 1, and f1+ f2+ f3+ f 4.
10. The intelligent municipal facility online monitoring digital intelligent management platform based on smart city construction of claim 1, further comprising an equipment obstacle avoidance auxiliary analysis module, wherein the equipment obstacle avoidance auxiliary analysis module is used for detecting the distance to an obstacle through an infrared distance measuring sensor in the mobile guardrail inspection equipment when the mobile guardrail inspection equipment acquires guardrail information, and further starting an obstacle avoidance instruction and avoiding an obstacle when the distance to the obstacle is less than or equal to the set obstacle avoidance requirement distance.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116127660A (en) * | 2022-11-18 | 2023-05-16 | 武汉市缔佳源建筑劳务有限公司 | Intelligent pipe network intelligent integrated management platform based on GIS |
| CN117218836A (en) * | 2023-09-13 | 2023-12-12 | 荆州市城市规划设计研究院 | Urban planning project comprehensive management information platform based on smart city |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105979204A (en) * | 2016-05-09 | 2016-09-28 | 无锡昊瑜节能环保设备有限公司 | Induction based road guide rail automatic monitoring system |
| CN106056517A (en) * | 2016-06-06 | 2016-10-26 | 苏州朗米尔照明科技有限公司 | Smart city management system |
| CN108914831A (en) * | 2018-07-09 | 2018-11-30 | 郑州西普德科技股份有限公司 | A kind of guardrail that cable is set |
| KR20200000572A (en) * | 2018-06-25 | 2020-01-03 | 주식회사 태광산업 | A stairway railing |
| CN111414871A (en) * | 2020-03-25 | 2020-07-14 | 陈天翔 | Intelligent safety protection detection system based on big data |
| CN112883997A (en) * | 2021-01-11 | 2021-06-01 | 武汉坤能轨道系统技术有限公司 | Rail transit fastener detection system and detection method |
| CN114414742A (en) * | 2022-01-25 | 2022-04-29 | 嘉兴市晟帆网络科技有限公司 | Urban greening daily maintenance on-line intelligent monitoring management cloud system based on artificial intelligence |
-
2022
- 2022-06-22 CN CN202210713470.7A patent/CN114973148B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105979204A (en) * | 2016-05-09 | 2016-09-28 | 无锡昊瑜节能环保设备有限公司 | Induction based road guide rail automatic monitoring system |
| CN106056517A (en) * | 2016-06-06 | 2016-10-26 | 苏州朗米尔照明科技有限公司 | Smart city management system |
| KR20200000572A (en) * | 2018-06-25 | 2020-01-03 | 주식회사 태광산업 | A stairway railing |
| CN108914831A (en) * | 2018-07-09 | 2018-11-30 | 郑州西普德科技股份有限公司 | A kind of guardrail that cable is set |
| CN111414871A (en) * | 2020-03-25 | 2020-07-14 | 陈天翔 | Intelligent safety protection detection system based on big data |
| CN112883997A (en) * | 2021-01-11 | 2021-06-01 | 武汉坤能轨道系统技术有限公司 | Rail transit fastener detection system and detection method |
| CN114414742A (en) * | 2022-01-25 | 2022-04-29 | 嘉兴市晟帆网络科技有限公司 | Urban greening daily maintenance on-line intelligent monitoring management cloud system based on artificial intelligence |
Non-Patent Citations (3)
| Title |
|---|
| 刘雷;唐慧敏;: "标准化装配式护栏在高桩码头的应用", 中国住宅设施, no. 09, 30 September 2017 (2017-09-30) * |
| 叶延磊;: "智慧市政综合监管平台建设研究", 智能城市, no. 20, 28 October 2018 (2018-10-28) * |
| 王义;: "基于多功能路灯的智慧城市信息化建设研究", 智能建筑与智慧城市, no. 10, 25 October 2020 (2020-10-25) * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116127660A (en) * | 2022-11-18 | 2023-05-16 | 武汉市缔佳源建筑劳务有限公司 | Intelligent pipe network intelligent integrated management platform based on GIS |
| CN116127660B (en) * | 2022-11-18 | 2023-12-15 | 智城数创(西安)科技有限公司 | Intelligent pipe network intelligent integrated management platform based on GIS |
| CN117218836A (en) * | 2023-09-13 | 2023-12-12 | 荆州市城市规划设计研究院 | Urban planning project comprehensive management information platform based on smart city |
| CN117218836B (en) * | 2023-09-13 | 2024-02-27 | 荆州市城市规划设计研究院 | Urban planning project comprehensive management information platform based on smart city |
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